head to head · open source
Agent-Reach vs LiteLLM
Agent-Reach has 108,014 GitHub stars, 9,640 forks, 137 open issues and last shipped 2 days ago. LiteLLM has 62,569 stars, 12,940 forks, 5,022 open issues and last shipped yesterday. Agent-Reach leads on adoption by 73% (108,014 vs 62,569 stars). Agent-Reach is written in Python under MIT; LiteLLM is written in Python under a custom or non-standard licence. Agent-Reach has attracted 9% as many forks as stars, LiteLLM 21%. LiteLLM was the more recently maintained of the two, and both are self-hostable with no licence fee.
Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.
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Side by side
| Agent-Reach | LiteLLM | |
|---|---|---|
| GitHub stars | ★ 108K | ★ 63K |
| License | MIT | Custom / other |
| Written in | Python | Python |
| Last push | 2026-11-01 | 2026-11-02 |
| Forks | ⑂ 9.6K | ⑂ 13K |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick Agent-Reach if
- You weight community size — 108K stars and counting
- You want the MIT license terms
- Your stack matches Python
- You value the larger contributor base for long-term maintenance
pick LiteLLM if
- You want the LiteLLM feature set and don't need the biggest community
- You prefer the Custom / other license terms
- Your stack matches Python
- You evaluated both and LiteLLM fits your workflow better
About Agent-Reach
👁️ Agent Reach 给你的 AI Agent 一键装上互联网能力 当下最稳的接入方式，替你选好、装好、体检好——接入方式会换代，你不用操心 快速开始 · English · 日本語 · 한국어 · 支持平台 · 设计理念 ❤️赞助商 想出现在这里？ 点击折叠 BrowserAct 支持从 Amazon、LinkedIn、X、Google Maps 等复杂网站提取你需要的任意数据。你只需用自然语言描述抓取需求，Agent 就会基于真实浏览器自动探索并测试页面流程，生成可靠、可复用的数据采集 Bot，并返回结构化结果。无需手动构建爬虫，无需编写代码。BrowserAct 内置隐身浏览、验证码处理和高质量住宅代理，帮助你更稳定地完成复杂网页数据采集。新用户注册即送 1000 积分， 立即免费试用 。 在腾讯云 Lighthouse 秒级部署 OpenClaw 全能助手，可通过对话丝滑接入 Agent Reach，给你的 OpenClaw 一键装上互联网能力。 CoreClaw 网页抓取平台与现成数据采集工具，CoreClaw 提供 100+ 现成数据采集工具，支持 Amazon、TikTok、Google Maps、Instagram、Facebook、YouTube 等平台，无需代码，支持 JSON/CSV 导出，仅对成功结果计费。 免费$3测试！ 优刻得星图astraflow大模型…
read the full Agent-Reach overview →
About LiteLLM
🚅 LiteLLM LiteLLM AI Gateway Open Source AI Gateway for 100+ LLMs. Self hosted. Enterprise ready. Call any LLM in OpenAI format. LiteLLM Proxy Server (AI Gateway) Hosted Proxy Enterprise Tier Website What is LiteLLM LiteLLM is an open source AI Gateway that gives you a single, unified interface to call 100+ LLM providers — OpenAI, Anthropic, Gemini, Bedrock, Azure, and more — using the OpenAI format. Use it as a Python SDK for direct library integration, or deploy the AI Gateway (Proxy Server) as a centralized service for your team or organization. Jump to LiteLLM Proxy (LLM Gateway) Docs Jump to Supported LLM…
read the full LiteLLM overview →
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Frequently asked questions
Is Agent-Reach or LiteLLM more popular?
Agent-Reach has 108,014 GitHub stars and LiteLLM has 62,569. Agent-Reach has the larger community by that measure.
Are Agent-Reach and LiteLLM free?
Both are open source. Agent-Reach is licensed under MIT, and LiteLLM has no licence declared in this registry. Both are free to self-host.
What is the difference between Agent-Reach and LiteLLM?
Agent-Reach is written in Python and LiteLLM in Python. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, Agent-Reach or LiteLLM?
Choose Agent-Reach if you want the larger community (108,014 stars) or its MIT licence terms. Choose LiteLLM if its feature set, stack or Custom / other licence fits better. Both are self-hostable.